BISA-L1.2
EEG-BASED ENVISIONED SPEECH RECOGNITION SYSTEM USING SPECTRAL GRAPH WAVELET TRANSFORM
Dhanhanjay Pachori, Indian Institute of Information Technology, Nagpur, India; Luciano Caroprese, University G. d’Annunzio of Chieti-Pescara, Italy; M. Sabarimalai Manikandan, Indian Institute of Technology Palakkad, India
Session:
BISA-L1: Decoding speech, attention and motor imagery from EEG Lecture
Track:
BISA - Biomedical Image & Signal Analytics
Location:
Utveggio
Presentation Time:
Tue, 9 Sep, 16:20 - 16:40 Italy Time (UTC +2)
Session Chair:
Simon Geirnaert, KU Leuven
Presentation
Discussion
Resources
No resources available.
Session BISA-L1
BISA-L1.1: Performance Modeling for Correlation-based Neural Decoding of Auditory Attention to Speech
Simon Geirnaert, Jonas Vanthornhout, Tom Francart, Alexander Bertrand, KU Leuven, Belgium
BISA-L1.2: EEG-BASED ENVISIONED SPEECH RECOGNITION SYSTEM USING SPECTRAL GRAPH WAVELET TRANSFORM
Dhanhanjay Pachori, Indian Institute of Information Technology, Nagpur, India; Luciano Caroprese, University G. d’Annunzio of Chieti-Pescara, Italy; M. Sabarimalai Manikandan, Indian Institute of Technology Palakkad, India
BISA-L1.3: VAREEGNET : AN IMPROVED NEURAL NETWORK FOR MOTOR IMAGERY BASED BCI
Gatien Darley, Stéphane Bonnet, Université Grenoble Alpes, CEA (Commissariat à l'Energie Atomique et aux Energies Alternatives) LETI (Laboratoire d'Electronique et de Technologie de l'Information), France
BISA-L1.4: Continuous Speech Prediction by Segmentation of Auditory EEG
Tomoaki Mizuno, The University of Electro-Communications, Japan; Natsue Yoshimura, Institute of Science Tokyo, Japan; Toru Nakashika, The University of Electro-Communications, Japan
BISA-L1.5: Motor Imagery EEG Classification with Convolutional Neural Networks: impact of reduced trials, channels and samples across different datasets
Giorgio Scavalli Veccia, Neil Mehta, Shay Englander, Pulkit Grover, Athanasios Vourvopoulos, Patricia Figueiredo, University, Italy